An information processing method, device and storage medium

Abstract

Embodiments of the present invention provide an information processing method, device, and storage medium, wherein the method includes: collecting at least two first pieces of information obtained according to driving behavior; obtaining at least two pieces of first information according to the at least two pieces of first information A characteristic information; identifying the at least two first characteristic information to obtain label information corresponding to each first characteristic information; according to the at least two first characteristic information and the label information corresponding to each first characteristic information , to obtain a sample set; perform modeling according to the sample set to obtain a relationship model for representing the relationship between the vehicle's driving route, the vehicle's own position, and the surrounding environment and / or obstacles; perform lane change selection according to the relationship model. Adopting the embodiment of the present invention can improve the accuracy of lane changing.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to an information processing method, device and storage medium. Background technique [0002] An application scenario of information processing is in the automatic driving of a vehicle. In order to realize the motion planning of the automatic driving of the vehicle, it is necessary to evaluate the trajectory of the vehicle. Vehicle lane change is an important part of motion trajectory. In the related art, a decision is made on how to select a lane for vehicle lane change based on the driver's experience. Since the decision-making only based on the driver's experience tends to be simple, the judgment of the environment around the vehicle such as obstacles is not accurate, which will easily lead to a decrease in the accuracy of lane changing, especially in various complex scenarios, it is difficult to guarantee the accuracy of driving in actual driving. Feasib...

AI Technical Summary

Problems solved by technology

Since the decision-making only based on the driver's experience tends to be simple, the judgment of the environment around the vehicle such as obstacles is not accurate, which will easily lead to a decrease in the accuracy of lane changing, especially in various complex scenarios, it is difficult to guarantee the accuracy of driving in actual driving. Feasibility and safety of in-process lane changes

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